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Title |
Automatic Generation Control Using Genetic Algorithm |
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Author |
G K Joshi, Sumit Mathur, Sanjay Mathur |
| Citation |
Vol. 8 No. 6 pp. 1-6 |
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Abstract |
The generation control is becoming increasingly important in view of increased load demand & reducing generating resources. The increasing load demands are posing serious threats to reliable operation of power systems. This is because the increasing load demand leads to lowering of turbine speed (Ns) & therefore reduction of frequency (f) of out put voltage of the generator. The healthy operation of generators feeding powers to various types of load is filled with challenges as the generating resources are coaping up to keep pace with increasing load demand. Under the situation a great care is needed in maintaining load under the size of generating capacities on the one hand and also maintaining healthy and undamaged operation of generators on the other hand. Working singularly or in parallel with other unit. The healthy and undamaged operation of generator needs the control of the following parameters Frequency to be maintained constant i.e. at 50 Hz, the tie line power to be maintained between specified limits and the economic operation of the generators. If the above parameters are maintained with in desired limits the generation control is said to be most effective. Being inspired to know the strategies for obtaining above controls, the present work has considered a two area problem of generation and have developed a programmable logic, which gives the control strategies for automatic generation control. |
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Keywords |
Reproduction, Crossover, Mutation, Genetic Algorithm, AGC, Frequency, Tie Line power folw, Economic Operations and Governar |
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